Raman and TGA data supporting Kaniyoor et al. "High throughput production of single-wall carbon nanotube fibres independent of sulfur-source"

Supporting data for Raman spectra and Thermogravimetric Analysis (TGA) data given in Kaniyoor et al. "High throughput production of single-wall carbon nanotube fibres independent of sulfur-source". The folder contains Raman spectroscopy and Thermogravimetry data for the various samples analysed in the work. Raman spectra were obtained using a Bruker Raman Senterra microscope with laser lines 532 (2.33 eV, 5 mW), 633 (1.96 eV, 5 mW), and 785 nm (1.58 eV, 10 mW). For every sample at least five different locations are sampled under a x20 objective, and averaged in the Bruker OPUS software. The raw data is presented in the Raman folder, named as Date synthesised_Sample name_Microscope Objective_Laser Wavelength_Laser Power_Accumulation time_Number of additions. Each data file has two columns which are Raman shift (in cm-1) and Intensity (counts). Please refer to the excel/.csv file in this folder to link the sample names to the flow rate, sulfur source (thiophene, carbon disulphide (CS2), elemental sulfur) and molar concentration (Low = 0.76 S:Fe, high = 1.52 S:Fe) under which the samples were synthesised. To obtain graphs presented in the paper, the data must be baseline corrected by asymmetric least squares method, and all intensities must be normalized to the respective G band intensity maximum. G:D values are calculated by taking the area of the G and D peaks. These analyses can easily be performed in Origin software. Thermogravimetry was performed using a TA Instruments Q500 under a dynamic ramp rate to 1000 ∞C with synthetic air. The data presented were obtained directly from the TA instruments software. The naming protocol is as follows: Sample synthesized date_Sample number_sulfur concentration and source hydrogen flow rate. Each data file has several columns of data. The important columns are 2nd- temperature (in celcius), 3rd ñ mass of the sample at different temperatures (in mg), 6th ñ derivate mass loss data. Information such as amorphous carbon content and residual catalyst can be obtained from the mass loss curves. Integrating different peaks in the derivative curves gives the amount of species that burn at that peak